NDLI: The prediction of a potentially fatal cardiac event in the next 2 to 24 hours and the prediction of a myocardial infarction related death or sudden death

Content Provider	IEEE Xplore Digital Library
Author	Wood, N.B.
Copyright Year	2001
Description	Author affiliation: GW Scientific, Inc., Rowayton, CT, USA (Wood, N.B.)
Abstract	Eleven predictive markers have been developed based on the empirical examination of the R-R intervals (RR) of Holter files from patients who were normal, post-MI (myocardial infarction), and who had expired due to sudden death (SD). Combinations of these markers predict the onset of a potentially fatal cardiac event such as an MI-related death or SD in the next 2 to 24 hours. A potentially lethal variability can be either a decreased or an increased variability. In a retrospective learning study of 83 Holter files comprising 39 patients who expired of an MI-related death or SD, and 44 post-MI patients, the results were 3% false-negative and 7% false-positive. In a retrospective test study of 156 Holter files comprising 61 MI-related death or SD patients and 95 post-MI patients, the results were 7% false-negative and 13% false-positive. There appears to be a direct relationship between decreased variability and MI-related death, and increased variability and SD.
Starting Page	509
Ending Page	512
File Size	332035
Page Count	4
File Format	PDF
ISBN	0780372662
ISSN	02766547
DOI	10.1109/CIC.2001.977704
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-09-23
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Heart rate variability Heart beat Myocardium Stress Niobium Testing Rhythm Standards development Transducers
Content Type	Text
Resource Type	Article

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